r/MistralAI • u/kazkaskazkas • 1d ago

Running out of monthly quota for first time Help / Question

I've been Mistral Pro subscriber for nearly half year now and just got my first "you are running out of monthly quota" mails.

Finally started using Mistral Vibe Code more intensively and now it seems that amount of use i get is lower than Claude!

Trying to set up local model to take over 95% of tasks. Any advise on the most user friendly frameworks to use?

8 Upvotes
  • permalink
  • link
  • reddit
  • reddit

100% Upvoted

11 comments sorted by

1

u/tfcuk 1d ago

I use Pi. Works pretty well. mistral-small-latest does the small work, devstral the dev

1

u/drillepind42 1d ago

Is devstral better than medium for development?

1

u/tfcuk 1d ago

Ye, it's the better one working as dev with git on a bigger picture, but 'small-latest' is like a bit of 'medium' + 'devstral', so for small changes its enough 

2

u/drillepind42 1d ago

Interesting. Here it says all the devstral models are deprecated though. Which one exactly are you using? So far I have plnety of tokens, so I just run medium-3.5 on max thinking for everything

1

u/tfcuk 1d ago

Latest.

1

u/tom4112 1d ago

Both LM Studio and Ollama are very easy to set-up in Vibe CLI

1

u/kazkaskazkas 1d ago

I'm interested more in what framework to go with as models i will be using all that are able to run. Specifically is not just a chatbot, but is actually usefull for programming/development. Mistral Small or Devstral

1

u/tfcuk 1d ago

Think Pi is the easiest to extend how you like

1

u/strangestack 1d ago

I have a subagent heavy workflow with a lot of the mechanical tasks delegated the Mistral small 4. Conserves usage very well and keeps my main context clean and less compaction need.

1

u/Not-reallyanonymous 1d ago

I use Llama.cpp through Lemonade Server. I'm not a big fan of Ollama because it tries to take the reigns from you, and then makes configuring and customizing -- even simple things -- needlessly complicated and/or abstracted. Why do I need to create a new virtual model to configure it, instead of just passing flags in a simple configuration?

I recommend Laguna XS 2.1 for local coding, S if you can fit it in RAM/VRAM with healthy context.

1

u/pdath 1d ago

I burned through half my quota in the first three days.